Welcome to the Chatbot with PDF Document Integration repository! In this project, we have developed a chatbot that utilizes information from the provided PDF documents to answer user queries. Additionally, if the PDF documents do not contain relevant information, the chatbot utilizes a local Language Model (LLM) to generate responses.
To use this chatbot, make sure you have the following requirements installed:
Python 3.9 Required Python packages (specified in requirements.txt)
pip install -r requirements.txtFollow these steps to set up and run the chatbot:
Clone this repository to your local machine:
git clone https://github.com/NextIn035846/ChatBoat_Haystek-Technologies.gitNavigate to the project directory:
cd ChatBoat_Haystek-Technologies.gitInstall the required dependencies:
pip install -r requirements.txtRun the chatbot:
streamlit run app.pyThe chatbot is now running and ready to assist you with any questions you may have. It uses the information extracted from the provided PDF documents to provide accurate responses. If a relevant response is not found in the PDFs, the chatbot falls back to the local Language Model.
The chatbot maintains a conversation history for each user. You can view the entire chat history to see the flow of the conversation. This feature helps to keep track of the context, especially when a user asks multiple questions.
